Demand forecasting based on ann integrating solar distributed generation
Author:
Publisher
AIP Publishing
Link
http://aip.scitation.org/doi/pdf/10.1063/5.0170693
Reference51 articles.
1. Yinghao Chu, Hugo T.C. Pedro, Amanpreet Kaur, Jan Kleissl, Carlos F.M. Coimbra, Net load forecasts for solar integrated operational grid feeders, Solar Energy 158 (2017) 236–246
2. Judith Foster, Xueqin Liu, Seán McLoone Short-term Load, Forecasting with High Levels of Distributed Renewable Generation, 2017 52nd International Universities Power Engineering Conference (UPEC)
3. An Ultrashort-Term Net Load Forecasting Model Based on Phase Space Reconstruction and Deep Neural Network
4. Multi-Sequence LSTM-RNN Deep Learning and Metaheuristics for Electric Load Forecasting
5. Diego Mej ´ıa-Giraldo, Aar ´on Casadiegos-Osorio b Cristian Grajales-Espinal, Jorge Esteban Tob ´on-Villa, Very-Short Term Electricity Demand Forecasting Integrating Solar Distributed Generation, 2021 IEEE International Conference on Engineering Veracruz
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